András Grabarits, Kasturi Ranjan Swain, Mahsa Seyed Heydari, Pranav Chandarana, Fernando J. Gómez-Ruiz, Adolfo del Campo
{"title":"随机伊辛网络中的量子混沌","authors":"András Grabarits, Kasturi Ranjan Swain, Mahsa Seyed Heydari, Pranav Chandarana, Fernando J. Gómez-Ruiz, Adolfo del Campo","doi":"arxiv-2405.14376","DOIUrl":null,"url":null,"abstract":"We report a systematic investigation of universal quantum chaotic signatures\nin the transverse field Ising model on an Erd\\H{o}s-R\\'enyi network. This is\nachieved by studying local spectral measures such as the level spacing and the\nlevel velocity statistics. A spectral form factor analysis is also performed as\na global measure, probing energy level correlations at arbitrary spectral\ndistances. Our findings show that these measures capture the breakdown of\nchaotic behavior upon varying the connectivity and strength of the transverse\nfield in various regimes. We demonstrate that the level spacing statistics and\nthe spectral form factor signal this breakdown for sparsely and densely\nconnected networks. The velocity statistics capture the surviving chaotic\nsignatures in the sparse limit. However, these integrable-like regimes extend\nover a vanishingly small segment in the full range of connectivity.","PeriodicalId":501167,"journal":{"name":"arXiv - PHYS - Chaotic Dynamics","volume":"52 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantum Chaos in Random Ising Networks\",\"authors\":\"András Grabarits, Kasturi Ranjan Swain, Mahsa Seyed Heydari, Pranav Chandarana, Fernando J. Gómez-Ruiz, Adolfo del Campo\",\"doi\":\"arxiv-2405.14376\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We report a systematic investigation of universal quantum chaotic signatures\\nin the transverse field Ising model on an Erd\\\\H{o}s-R\\\\'enyi network. This is\\nachieved by studying local spectral measures such as the level spacing and the\\nlevel velocity statistics. A spectral form factor analysis is also performed as\\na global measure, probing energy level correlations at arbitrary spectral\\ndistances. Our findings show that these measures capture the breakdown of\\nchaotic behavior upon varying the connectivity and strength of the transverse\\nfield in various regimes. We demonstrate that the level spacing statistics and\\nthe spectral form factor signal this breakdown for sparsely and densely\\nconnected networks. The velocity statistics capture the surviving chaotic\\nsignatures in the sparse limit. However, these integrable-like regimes extend\\nover a vanishingly small segment in the full range of connectivity.\",\"PeriodicalId\":501167,\"journal\":{\"name\":\"arXiv - PHYS - Chaotic Dynamics\",\"volume\":\"52 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Chaotic Dynamics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.14376\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Chaotic Dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.14376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We report a systematic investigation of universal quantum chaotic signatures
in the transverse field Ising model on an Erd\H{o}s-R\'enyi network. This is
achieved by studying local spectral measures such as the level spacing and the
level velocity statistics. A spectral form factor analysis is also performed as
a global measure, probing energy level correlations at arbitrary spectral
distances. Our findings show that these measures capture the breakdown of
chaotic behavior upon varying the connectivity and strength of the transverse
field in various regimes. We demonstrate that the level spacing statistics and
the spectral form factor signal this breakdown for sparsely and densely
connected networks. The velocity statistics capture the surviving chaotic
signatures in the sparse limit. However, these integrable-like regimes extend
over a vanishingly small segment in the full range of connectivity.